Software Engineer, I - Data Engineering

Torc Robotics; United States; Remote; USD 114,000 - 137,000; Full time

Benefits offered by this job

Bonus + stock options

Premium health coverage

401K plan with match

Flexible schedule & paid vacation

AD&D and Life Insurance

Job summary

Torc Robotics is hiring a Software Engineer to help build and support Linux- and cloud-based data systems for analytics, simulation, and ML training.

You will collaborate with experienced engineers on AWS-based data ingestion, ETL, and storage solutions, contributing to data pipelines and governance.

Qualifications

• BS/MS Degree in Computer Engineering, Computer Science, or related field
• Experience writing code using Python
• Practical experience with Docker and containerization
• A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code
• Experience with Linux and general bash scripting
• Experience deploying, troubleshooting, monitoring and maintaining Linux systems

Responsibilities

• Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments
• Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale
• Scale Torc’s data lake through a distributed storage system, data crawling and discovery
• Promote and protect the integrity of data through validation, versioning, data provenance, and governance
• Support the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sources
• Assist in the development and delivery of cloud-based solutions
• Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery
• Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety‑critical software for self‑driving vehicles
• Participate in the team’s on‑call rotation to support our deployed systems during business hours

Skills

Python

Linux

Docker

Bash scripting

CI/CD

Infrastructure as code

Cloud-based data systems

Data ingestion

ML training

On-call rotation

Education

BS/MS Degree in Computer Engineering/Computer Science

Tools

AWS

Docker

Terraform

Databricks

Pandas/Numpy

Job description

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.
Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team

Torc’s Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote-first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints—daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts.

WhatYou’llDo

We are looking for a Software Engineer who is eager to learn and grow while helping build and support Linux- and cloud-based data systems. In this role, you’ll work closely with experienced engineers to contribute to AWS-based data ingestion, ETL, and storage solutions that enable analytics, simulation, and ML training across the company.

• Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments

• Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale

• Scale Torc’s data lake through a distributed storage system, data crawling and discovery

• Promote and protect the integrity of data through validation, versioning, data provenance, and governance

• Support the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sources

• Assist in the development and delivery of cloud-based solutions

• Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery

• Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety‑critical software for self‑driving vehicles

• Participate in the team’s on‑call rotation to support our deployed systems during business hours

Here’s a list of some of the technologies we use to make all the above happen:

• Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue)

• Linux / Bash

• Docker

• Terraform

• Python

• React/Javascript

• On‑Call Tooling (Datadog, AWS Cloudwatch)

• Databricks

WhatYou’llNeed to Succeed

• BS/MS Degree in Computer Engineering, Computer Science, or related field

• Experience writing code using Python

• Practical experience with Docker and containerization

• A strong commitment to test‑driven development patterns, continuous integration and delivery, and infrastructure as code

• Experience with Linux and general bash scripting

• Experience deploying, troubleshooting, monitoring and maintaining Linux systems

Bonus Points

• Strong organizational, time management, and communication skills working with a team orientation and collaborative style

• Experience developing cloud‑based serverless solutions

• Experience with pandas, numpy and other Python‑based data analysis libraries and tooling

• Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)

• Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems

• Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores

• Experience with the Databricks platform, particularly for serving data, visualizations and jobs

• Experience with scaling data for ML and AI workloads using Ray

Perks of Being a Full‑timeTorc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

• A competitive compensation package that includes a bonuscomponentand stock options

• 100% paid medical, dental, and vision premiums for full‑time employees

• 401K plan with a 6% employer match

• Flexibility in schedule and generous paid vacation (availableimmediatelyafterstartdate)

• AD+D and Life Insurance

At Torc,we’recommitted to building a diverse and inclusive workplace. We celebrate the uniqueness of ourTorc’rsand do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if youdon’tmeet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets.Pay is based on a number of factors and may vary depending on job‑related knowledge, skills, and experience.Torc’s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign‑on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102861

Hiring Range for Job Opening

US Pay Range

$114,400—$137,300 USD